gomp
The gamma-OMP Feature Selection Algorithm
The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling source/ R- | gomp_1.1.tar.gz |
14.6 KiB |
1.1 |
rolling linux/jammy R-4.5 | gomp_1.1.tar.gz |
86.8 KiB |
1.1 |
rolling linux/noble R-4.5 | gomp_1.1.tar.gz |
86.8 KiB |
1.1 |
latest source/ R- | gomp_1.1.tar.gz |
14.6 KiB |
1.1 |
latest linux/jammy R-4.5 | gomp_1.1.tar.gz |
86.8 KiB |
1.1 |
latest linux/noble R-4.5 | gomp_1.1.tar.gz |
86.8 KiB |
1.1 |
2026-04-23 source/ R- | gomp_1.1.tar.gz |
14.6 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | gomp_1.1.zip |
88.9 KiB |
1.0 |
2025-04-20 source/ R- | gomp_1.0.tar.gz |
14.7 KiB |